2011Psych60-Final-StudyGuide

# 2011Psych60-Final-StudyGuide - Psychology 60 Spring 2011...

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Psychology 60, Spring 2011 Final Study Guide This study guide is not intended to provide you with a comprehensive list of the topics you need to know; rather, this guide is meant to guide you in your studying. Do not assume that you can study only these topics and/or read only these sections in the book. This guide will not replace a thorough reading of the book and review of your lecture notes. The following is simply a list of topics and formulas with which you should be most familiar. The differences between populations and samples The difference between inferential and descriptive statistics The differences between statistics and parameters Sampling Error Summation Notation Scales of measurement, specifically the differences between the different scales Characteristics of experimental research o Manipulation o Control o Random Assignment Differences between experimental studies and correlational studies Constructs and Operational Definitions Interpreting frequency graphs/histograms Types of data appropriate for line graphs, bar graphs and scatter plots Describing the shape of distributions using symmetry and skew Differences between the different measures of central tendency Computation of the standard deviation for both populations and samples o Know how to use the formulas o Know when to use each of the formulas Z-scores

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o Computation of a z-score for an individual score in a population o Understand the meaning of a z-score o Be able to tell which of two z-scores is more extreme o Understand what extreme means in the statistical sense o Converting from raw scores to z-score o Converting from z-scores to raw scores o Be able to find the proportion of a normal distribution between two z- scores o Be able to find the proportion of a normal distribution beyond a z-score o Be able to find the z-score corresponding to where a certain proportion of a distribution is beyond that score o Know the basic definition of probability Distribution of sample means o Understand what the distribution of sample means represents o Be able to locate the z-score for a particular sample mean in the distribution of sample means o Be able to calculate the standard deviation for the distribution of sample means for populations, and from sample data o Understand the difference between the standard error and the estimated standard error o Understand when the distribution of sample means will be normal
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## This note was uploaded on 09/01/2011 for the course PSYCH 60 taught by Professor Parris during the Spring '11 term at UCSD.

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2011Psych60-Final-StudyGuide - Psychology 60 Spring 2011...

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